Re:No, DeepMind has not solved protein folding
by titzer on Saturday December 05, 2020 @01:35AM
(#25312350)
But in this case AlphaFold is only marginally better than other algorithms. Since we are comparing computer algorithms (and not a human to an algorithm), it'd be like saying Usain Bolt "solved" the 100m dash when he set a new world record. Is it solved though, without knowing how fast those other algorithms are advancing?
Re:No, DeepMind has not solved protein folding
by visarga on Saturday December 05, 2020 @02:42AM
(#25312668)
have you seen the performance graph? it went from 40% (other teams) to 60% (DeepMind 2 years ago) to 92% now.
Re:No, DeepMind has not solved protein folding
by yread on Saturday December 05, 2020 @04:25AM
(#25313063)
here is a nice case where alphafold did way better than others
https://twitter.com/TassosPerrakis/status/133353559400213299...
Tassos is also a professor in structural biology. Discovering structures the experimental way.
EDIT: on the other hand he also agrees that it's not the end of experimental structural biology
https://twitter.com/TassosPerrakis/status/133402467831107993...
Re:No, DeepMind has not solved protein folding
by tigershark on Saturday December 05, 2020 @04:38AM
(#25313129)
No it’s not. AlphaFold is a huge advancement on all the other solutions. Solutions that were based on the already massive improvement that DeepMind brought in the previous edition.
Even though Google only won 4/5 games against Lee Sedol, that was the moment that sticks in peoples minds as when Google solved the problem of computer Go. What happened afterwards was a process of perfecting the algorithm. It seems likely the next few years will bring the same for AlphaFold.